Internet of Things intrusion detection systems: a comprehensive review and future directions
A Heidari, MA Jabraeil Jamali - Cluster Computing, 2023 - Springer
Abstract The Internet of Things (IoT) is a paradigm that connects objects to the Internet as a
whole and enables them to work together to achieve common objectives, such as innovative …
whole and enables them to work together to achieve common objectives, such as innovative …
Deep transfer learning for intrusion detection in industrial control networks: A comprehensive review
Globally, the external internet is increasingly being connected to industrial control systems.
As a result, there is an immediate need to protect these networks from a variety of threats …
As a result, there is an immediate need to protect these networks from a variety of threats …
A survey on IoT intrusion detection: Federated learning, game theory, social psychology, and explainable AI as future directions
In the past several years, the world has witnessed an acute surge in the production and
usage of smart devices which are referred to as the Internet of Things (IoT). These devices …
usage of smart devices which are referred to as the Internet of Things (IoT). These devices …
Design of intrusion detection system based on cyborg intelligence for security of cloud network traffic of smart cities
Abstract The Internet of things (IoT) is an important technology that is highly beneficial in
establishing smart items, connections and cities. However, there are worries regarding …
establishing smart items, connections and cities. However, there are worries regarding …
Boosting algorithms for network intrusion detection: A comparative evaluation of Real AdaBoost, Gentle AdaBoost and Modest AdaBoost
Computer networks have been experienced ever-increasing growth since they play a critical
role in different aspects of human life. Regarding the vulnerabilities of computer networks …
role in different aspects of human life. Regarding the vulnerabilities of computer networks …
An optimized ensemble prediction model using AutoML based on soft voting classifier for network intrusion detection
Traditional ML based IDS cannot handle high-speed and ever-evolving attacks.
Furthermore, these traditional IDS face several common challenges, such as processing …
Furthermore, these traditional IDS face several common challenges, such as processing …
Towards a deep learning-driven intrusion detection approach for Internet of Things
Abstract Internet of Things (IoT) as a paradigm comes with a range of benefits to humanity.
Domains of research for the IoT range from healthcare automation to energy and transport …
Domains of research for the IoT range from healthcare automation to energy and transport …
Deep learning-based intrusion detection for IoT networks
Internet of Things (IoT) has an immense potential for a plethora of applications ranging from
healthcare automation to defence networks and the power grid. The security of an IoT …
healthcare automation to defence networks and the power grid. The security of an IoT …
Deep neural network based anomaly detection in Internet of Things network traffic tracking for the applications of future smart cities
An anomaly exposure system's foremost objective is to categorize the behavior of the system
into normal and untruthful actions. To estimate the possible incidents, the administrators of …
into normal and untruthful actions. To estimate the possible incidents, the administrators of …
An innovative perceptual pigeon galvanized optimization (PPGO) based likelihood Naïve Bayes (LNB) classification approach for network intrusion detection system
Intrusion detection and classification have gained significant attention recently due to the
increased utilization of networks. For this purpose, there are different types of Network …
increased utilization of networks. For this purpose, there are different types of Network …